{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt: .p.import`matplotlib.pyplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "filter: {\n",
    "    t: ([] x: `float $ x; xh: `float $ x; p: (count x) # R: var x);\n",
    "    (first t), iterate[R; R]\\[first t; 1 _ t] \n",
    "    }\n",
    "\n",
    "iterate: {[Q; R; x; y]\n",
    "    x[`p]+: Q;\n",
    "    k: x[`p] % R + x[`p];\n",
    "    `x`xh`p ! (y[`x]; x[`xh] + k * y[`x] - x[`xh]; (1 - k) * x[`p])\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "price: 100 + sums 0.5 - (n:50)?1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "output:filter price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 460.8x345.6 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt[`:plot][til n; output`x; `label pykw \"price\"];\n",
    "plt[`:plot][til n; output`xh;`label pykw \"forecast\"];\n",
    "plt[`:legend][];\n",
    "plt[`:show][];"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Q 3.5",
   "language": "q",
   "name": "qpk"
  },
  "language_info": {
   "file_extension": ".q",
   "mimetype": "text/x-q",
   "name": "q",
   "version": "3.6.0"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
